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1.7. Gaussian Processes — scikit-learn 1....
1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...features exceeds a few dozens. 1.7.1. Gaussian Process Regression...scikit-learn.org/stable/modules/gaussian_process.html -
make_hastie_10_2 — scikit-learn 1.8.0 doc...
float64(-1.0), np.float64(1.0), np.float64(-1.0), np.float64(1.0),...i ] = 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html -
Matern — scikit-learn 1.8.0 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>>...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
binarize — scikit-learn 1.8.0 documentation
1., 0.], [1., 0., 0.]]) On this page...are replaced by 0, above it by 1. Threshold may not be less than...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html -
silhouette_score — scikit-learn 1.8.0 doc...
The best value is 1 and the worst value is -1. Values near 0 indicate...<= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
SVM Tie Breaking Example — scikit-learn 1...
1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
inplace_csr_column_scale — scikit-learn 1...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
KMeans — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Clustering...X = np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
Understanding the decision tree structure ̵...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
make_gaussian_quantiles — scikit-learn 1....
dataset is from Zhu et al [1] . References [ 1 ] J. Zhu, H. Zou, S....es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html